Energy Management Optimizations Using Multi-Variable Fuzzy Logic Control, 1997 Engineering Conference Proceedings

Energy management requires flexible control to resolve economic versus operational constraints. Multiple inputs are evaluated to provide a control solution, able to produce an optimal results when presented with conflicting objectives. Fuzzy logic control. when properly implemented stable control with respect to plant upsets. Optimizing energy consumption and production results in substantial cost reductions.

Stabilizing steam distribution headers, maximizing wood refuse firing, minimizing fossil fuel consumption, controlling purchased electrical demand levels and minimizing condenser loading provide a means to reduce variability and lower per unit costs of steam and electricity. By using fuzzy logic, the control system is able to reason based on multiple inputs, much like a highly trained operator, and provide an optimal responses. In contrast, conventional control systems are only able to process a single input, typically error, producing a linear control response. Conventional control systems require specific custom configurations.